Premium
Real‐time updating of structural mechanics models using Kalman filtering, modified constitutive relation error, and proper generalized decomposition
Author(s) -
Marchand Basile,
Chamoin Ludovic,
Rey Christian
Publication year - 2016
Publication title -
international journal for numerical methods in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.421
H-Index - 168
eISSN - 1097-0207
pISSN - 0029-5981
DOI - 10.1002/nme.5197
Subject(s) - kalman filter , robustness (evolution) , computer science , relation (database) , data assimilation , model order reduction , reduction (mathematics) , algorithm , mathematics , artificial intelligence , data mining , projection (relational algebra) , biochemistry , chemistry , physics , geometry , meteorology , gene
Summary The paper aims at proposing a new strategy for real‐time identification or updating of structural mechanics models defined as dynamical systems. The main idea is to introduce the modified constitutive relation error concept, which is a practical tool that enables to efficiently solve identification problems with highly corrupted data, into the Kalman filtering, which is a classical framework for data assimilation. Furthermore, a PGD‐based model reduction method is performed in order to optimize capabilities of the online updating strategy. Performances of the proposed approach, in terms of robustness gain and computational cost reduction, are illustrated on several unsteady thermal applications. Copyright © 2015 John Wiley & Sons, Ltd.